发明名称 Paper web breakage prediction using principal components analysis and classification and regression trees
摘要 A system and method for predicting web breaks in a paper machine. Principal components analysis (PCA) and classification and regression tree (CART) modeling are used to predict web break sensitivity from measurements taken from the paper mill. Also, the CART model is used to isolate the root cause of the predicted web break sensitivity.
申请公布号 US6522978(B1) 申请公布日期 2003.02.18
申请号 US20010929534 申请日期 2001.08.13
申请人 GENERAL ELECTRIC COMPANY 发明人 CHEN YU-TO;BONISSONE PIERO PATRONE
分类号 G01N33/34;(IPC1-7):G01B5/30 主分类号 G01N33/34
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